DocumentCode :
700342
Title :
Tracking MSE performance analysis of the ∈-NSLMS algorithm
Author :
Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine ; Asad, Syed Muhammad ; Mahmood, Khalid
Author_Institution :
Electr. & Electron. Eng. Technol.Unit, Hafr Al-Batin Community Coll., Hafr Al-Batin, Saudi Arabia
fYear :
2015
fDate :
17-19 Feb. 2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, the tracking behavior of the ∈-normalized sign-error least mean square (NSLMS) algorithm is analyzed in the presence of white and correlated Gaussian regressors. Moreover, generic analytical expressions are derived for the optimal step-size and the corresponding optimal mean square error (MSE) of the ∈-NSLMS algorithm for both the real- and complex-valued data cases. Additionally, a comparison between the convergence behavior of the ∈-NSLMS algorithm and the ∈-normalized least mean square (NLMS) algorithm is also discussed. Finally, simulation results to corroborate our theoretical findings are presented.
Keywords :
Gaussian processes; correlation methods; least mean squares methods; signal processing; ∈-NSLMS algorithm; MSE performance analysis; correlated Gaussian regressor; normalized sign error least mean square algorithm; optimal mean square error; white Gaussian regressor; AWGN; Algorithm design and analysis; Convergence; Optimized production technology; Signal processing algorithms; Simulation; LMS; NLMS; NSLMS; SLMS; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2015 International Conference on
Conference_Location :
Sharjah
Type :
conf
DOI :
10.1109/ICCSPA.2015.7081323
Filename :
7081323
Link To Document :
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